The accuracy of recommender systems has been largely discussed and the user experience of the recommended systems is now becoming a new focus. Combining recommendations with information visualization (InfoVis) can be a way to improve the acceptance of the system. This thesis investigates how InfoVis can support the recommended systems, aiming at improving the enjoyment and engagement of the user experience. Three prototypes are designed to evaluate the impact of using InfoVis and fluid interactive InfoVis on user engagement and enjoyment with exploratory of recommended books. The methods of product reaction card and Likert questionnaire are used during the evaluation. Results suggest that InfoVis is a viable way to improve the engagement an...
Abstract. Discovering relevant publications for researchers is a non-trivial task. Recommender syste...
Arbetet grundar sig i hur en beslutfattare påverkas av olika visualiseringar och presentationssätt. ...
Research in recommender systems has traditionally focused on improving the predictive accuracy of re...
The accuracy of recommender systems has been largely discussed and the user experience of the recomm...
Recommender systems have been researched extensively over the past decades. Whereas several algorit...
Nowadays recommendation systems are increasingly used to provide users with customized information o...
Research on recommender systems has traditionally focused on the development of algorithms to improv...
Information Visualisation (InfoVis) is defined as an interactive visual representation of abstract d...
In an age characterized by tremendous technological break-throughs, the world is witnessing overwhel...
Denna uppsats behandlar ämnet informationsvisualisering. Syftet med uppsatsen är att utforska och be...
Recommender systems provide a valuable mechanism to address the information overload problem by redu...
Abstract: Several information visualization toolkits and tools have been developed to facilitate use...
Recent efforts in recommender systems research focus increasingly on human factors that affect accep...
MedioVis is a visual information seeking system that aims to support users ’ natural seeking behavio...
Recent efforts in recommender systems research focus increasingly on human factors affecting recomme...
Abstract. Discovering relevant publications for researchers is a non-trivial task. Recommender syste...
Arbetet grundar sig i hur en beslutfattare påverkas av olika visualiseringar och presentationssätt. ...
Research in recommender systems has traditionally focused on improving the predictive accuracy of re...
The accuracy of recommender systems has been largely discussed and the user experience of the recomm...
Recommender systems have been researched extensively over the past decades. Whereas several algorit...
Nowadays recommendation systems are increasingly used to provide users with customized information o...
Research on recommender systems has traditionally focused on the development of algorithms to improv...
Information Visualisation (InfoVis) is defined as an interactive visual representation of abstract d...
In an age characterized by tremendous technological break-throughs, the world is witnessing overwhel...
Denna uppsats behandlar ämnet informationsvisualisering. Syftet med uppsatsen är att utforska och be...
Recommender systems provide a valuable mechanism to address the information overload problem by redu...
Abstract: Several information visualization toolkits and tools have been developed to facilitate use...
Recent efforts in recommender systems research focus increasingly on human factors that affect accep...
MedioVis is a visual information seeking system that aims to support users ’ natural seeking behavio...
Recent efforts in recommender systems research focus increasingly on human factors affecting recomme...
Abstract. Discovering relevant publications for researchers is a non-trivial task. Recommender syste...
Arbetet grundar sig i hur en beslutfattare påverkas av olika visualiseringar och presentationssätt. ...
Research in recommender systems has traditionally focused on improving the predictive accuracy of re...